Samuel H.

Samuel H. is an experienced Senior Research and Development Engineer at Industrial Light & Magic, where expertise includes building a real-time convolutional deep learning model using Tensorflow for animation data prediction and application in live capture environments. Previously, Samuel served as a Senior Software Engineer at Kudan, leading a performance team to optimize real-time systems and improve the runtime of LIDAR SLAM systems significantly. Earlier experience includes roles as a Computer Vision Engineer and Rendering Engineer, where Samuel developed advanced vision algorithms and a real-time 3D data visualization engine. A former intern at NVIDIA, Samuel holds a Master's Degree in Chemistry from the University of Oxford.